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I'm wanting to do a calculation to create a column or calculated measure using 2 values on differing rows. My data is a flat file (excel) and the table shown below contains a hierachy that I've created. I'm wanting to forcast numbers by using the retention (calculated measure) from the previous block and mulitplying that my current enrolled. Block 1 forecast will always be 0 and the hierarchy levels above block will be a sum of the forecasted block 1 and 2. See example below, the green box indicates what I want to mulitple by.
Any help greatly appreciated and from my own digging around indexing seems the only option though getts messy with hierarchy.
Solved! Go to Solution.
Hi @Anonymous ,
Based on your picture, I think it is the part of your data I will just focus on the forecast result ignoring the sum value of other two fields [Retention] and [Enrolled].
Also, since the [Retention] is a measure, I have created a simple sum measure to imitate it in my sample file:
Retention = SUM('Table'[value])
To get the previous row value in this case to calculate the forecast value, you can create this measure:
Forecast =
VAR tab =
    SUMMARIZE (
        'Table',
        'Table'[Department],
        'Table'[Class],
        'Table'[Block],
        'Table'[Enrolled],
        "prows",
            VAR _pre =
                CALCULATE (
                    MAXX ( 'Table', [Retention] ),
                    FILTER (
                        ALL ( 'Table' ),
                        'Table'[Department] IN DISTINCT ( 'Table'[Department] )
                            && 'Table'[Class] IN DISTINCT ( 'Table'[Class] )
                            && 'Table'[Block]
                                = CALCULATE (
                                    MAX ( 'Table'[Block] ),
                                    FILTER (
                                        ALL ( 'Table' ),
                                        'Table'[Department] IN DISTINCT ( 'Table'[Department] )
                                            && 'Table'[Class] IN DISTINCT ( 'Table'[Class] )
                                            && 'Table'[Block] < MAX ( 'Table'[Block] )
                                    )
                                )
                    )
                )
            RETURN
                IF ( ISBLANK ( _pre ), 0, _pre )
    )
RETURN
    SUMX ( tab, [prows] * [Enrolled] )
Attached my sample file in the below, hopes to help you.
Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Based on your picture, I think it is the part of your data I will just focus on the forecast result ignoring the sum value of other two fields [Retention] and [Enrolled].
Also, since the [Retention] is a measure, I have created a simple sum measure to imitate it in my sample file:
Retention = SUM('Table'[value])
To get the previous row value in this case to calculate the forecast value, you can create this measure:
Forecast =
VAR tab =
    SUMMARIZE (
        'Table',
        'Table'[Department],
        'Table'[Class],
        'Table'[Block],
        'Table'[Enrolled],
        "prows",
            VAR _pre =
                CALCULATE (
                    MAXX ( 'Table', [Retention] ),
                    FILTER (
                        ALL ( 'Table' ),
                        'Table'[Department] IN DISTINCT ( 'Table'[Department] )
                            && 'Table'[Class] IN DISTINCT ( 'Table'[Class] )
                            && 'Table'[Block]
                                = CALCULATE (
                                    MAX ( 'Table'[Block] ),
                                    FILTER (
                                        ALL ( 'Table' ),
                                        'Table'[Department] IN DISTINCT ( 'Table'[Department] )
                                            && 'Table'[Class] IN DISTINCT ( 'Table'[Class] )
                                            && 'Table'[Block] < MAX ( 'Table'[Block] )
                                    )
                                )
                    )
                )
            RETURN
                IF ( ISBLANK ( _pre ), 0, _pre )
    )
RETURN
    SUMX ( tab, [prows] * [Enrolled] )
Attached my sample file in the below, hopes to help you.
Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
 
					
				
				
			
		
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